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Hollow Fiber Infection Model for Antibiotic PK/PD

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Presentation on theme: "Hollow Fiber Infection Model for Antibiotic PK/PD"— Presentation transcript:

1 Hollow Fiber Infection Model for Antibiotic PK/PD
FiberCell Systems, the only supplier of laboratory scale hollow fiber bioreactor systems since 2001 Hollow Fiber Infection Model for Antibiotic PK/PD By John J. S. Cadwell

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3 Antibiotic Resistance
Emerging antibiotic resistance is a major health concern 2 million people in the U.S. infected with antibiotic resistant bacteria last year 23,000 people died as a result of these infections, many more die from complications Most deaths related to antibiotic resistance occur in hospitals and nursing homes Cell culture devices through the ages. The tools used for cell culture haven’t changed fundamentally in 100 years, now they are made of plastic instead of glass for disposability. They all have two things in common 1) cells are attached to a non-porous support and scale-up can involve just more flasks.

4 Lack of New Antibiotics
Only 2 systemic antibiotic agents approved since 2008 16 approved between 1983 and 1987 3 reasons: Scientific: Easy to discover antibiotics have already been found Economic: Antibiotics represent a poor return on investment and new antibiotics reserved for difficult cases Regulatory: FDA approval process increasingly complex and expensive.

5 MIC: Minimum Inhibitory Concentration
Lowest concentration of a drug that prevents a bacterial inoculum from growing to visibly detectable levels Time a drug concentration remains above the MIC Ratio of maximal drug concentration to MIC Ratio of the area under the concentration time curve to MIC

6 MIC tells us nothing about:
Bacteriostatic or bactericidal Time or dosage dependent Rate of Bacterial killing Post-antibiotic effect Dosing profiles that prevent or facilitate resistance Feast or famine cycle. The cells are exposed to constantly changing conditions with their optimum conditions for protein and antibody production being only a small part of this cycle. Just when things get good it is time to split the cells and start the process all over again.

7 Antibiotic efficacy is tied to both concentration and time.

8 In vitro Testing Methods
Broth dilution test Antimicrobial gradient test Disc diffusion test E-test

9 Assays in which both time and concentration are variable:
Time kill assay Mouse thigh infection model Hollow fiber infection model

10 Time Kill Assay, One Compartment
Open system, not bio safe Bacteria numbers change over time Large volume requires large amount of drug and diluent Rapid changes in drug concentration not possible, cannot model short half-lifes

11 Mouse Thigh Infection Model
PK/PD may not mimic human values Cannot sample over time Hard to do large numbers of bacteria to reveal resistance Many infections cannot be modeled in mouse

12 Hollow Fiber Infection Model

13 Hollow Fiber Cross-Section

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15 Reservoir cap

16 Advantages of the Hollow Fiber Infection Model
Closed, bio-safe system Sampling over time Large number of organism can be tested, revealing resistance Precisely simulates human PK/PD Repetitive sampling over time, both drug and organism Total kill Single use, disposable, consistent Two drug models can be tested Can model both dosing curve and elimination curve Can look at bacteria in different growth phases and in combination with cells. Antiviral PK/PD as well.

17 Hollow Fiber Pretest Study Scheme

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20 PK Profile

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22 Anaerobic Chamber

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24 Two Drug Model

25 Drug Combination – Aztreonam/Avibactam
AVI 4 mg/L alone ATM 0.75 mg/L-6 hrs alone ATM 3 mg/L-24 hrs + AVI 4 mg/L ATM 8 mg/L-24 hrs + AVI 4 mg/L ATM 16 mg/L-24 hrs + AVI 4 mg/L ATM 0.5 mg/L-6 hrs + AVI 4 mg/L ATM 1.25 mg/L-12 hrs + AVI 4 mg/L ATM 0.75 mg/L-6 hrs + AVI 4 mg/L Bacteria regrow after 4~8 hrs with once-daily dosing. When administered more frequently, total suppression was achieved at 24 hrs.

26 Drug Toxicology – Cidofovir for Vaccinia Virus
0 M 12.5 M 25 M 50 M 100 M 200 M 3 strains of Vaccinia Virus grow well in FiberCell Systems bioreactor 3 M of Cidofovir represent largest dose administered to human 200 M of Cidofovir ensure nearly complete suppression of virus

27 Pediatric Therapy for TB
Different bacillary burden Distribution of disease (not just in lungs) Drug metabolism and distribution Toxicity Adult regimen treatment for 18 months, more than 25% of children develop hearing loss

28 From: Concentration-Dependent Synergy and Antagonism of Linezolid and Moxifloxacin in the Treatment of Childhood Tuberculosis: The Dynamic Duo Exposure-response surface for the linezolid-moxifloxacin combination effect against intracellular Mycobacterium tuberculosis, in wells. The figure shows antagonism on the surface bounded by moxifloxacin 0- to 24-hour area under the curve (AUC0–24)/minimum inhibitory concentration (MIC) ratios of 11.52–19.20 and linezolid AUC0–24/MIC ratios of 12.0–22.08, shown in deep blue. The interaction factor was −0.02 (95% confidence interval [CI], −.03 to −.01). The zone of synergy was narrower, and was a ridge along a linezolid AUC0–24/MIC ratio of 9.12 bounded by moxifloxacin AUC0–24/MIC ratios of 19.2–192 with an interaction factor of 0.01 (95% CI, .01–.01). The rest of the surface, shown in shades of green, demonstrated additivity based on the finding that the observed effect minus the expected effect was zero. 28

29 From: Concentration-Dependent Synergy and Antagonism of Linezolid and Moxifloxacin in the Treatment of Childhood Tuberculosis: The Dynamic Duo Effect of microbial burden on THP-1 cells when expressed as a ratio of colony-forming units to number of THP-1 monocytes. Estimates are mean and standard deviation for 3 replicate hollow fiber systems. The number on bacteria per THP-1 cell is a composite of bacterial burden and drug toxicity–related viability of THP-1. The pattern and ranking order of regimens based on kill rates did not change, even when taking survival of THP-1 cells into account, and follows that of total bacterial burden shown in Figure . The slopes for the additivity exposure (regimen 4) and standard therapy regimen overlap completely, so that only one is visible in the figure. Abbreviations: EC20, exposure associated with 20% of maximal kill; EC90, exposure associated with 90% of maximal kill; Mtb, Mycobacterium tuberculosis. 29

30 Cryptosporidium Model

31 Regulatory position EMA endorsement for TB FDA expected to follow suit
Cartridges manufactured under ISO class 8

32 The hollow fiber infection model is a complementary and additional tool for drug development, to be implemented at the earliest stages Optimal dose selection and route of administration Optimal dosing schedule Possible combination therapies Defines emerging resistance Defines total kill Post-approval drug regimen optimization Can support trial design for Phase I, II, III and IV clinical trials

33 Thank you.


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